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INDONESIA
Indonesian Journal of Electrical Engineering and Computer Science
Published by Institute of Advanced Engineering and Science
ISSN : 25024752     EISSN : 25024760     DOI : -
Core Subject :
Arjuna Subject : -
Articles 98 Documents
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Search results for , issue "Vol 12, No 7: July 2014" : 98 Documents clear
Dynamic Sliding Mode Control of Ship Rudder-fin Joint Nonlinear System Han Yao zhen
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 7: July 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i7.pp5275-5283

Abstract

In order to realize good track keeping and roll reduction of the ship while navigating. A multiple input multiple output rudder-fin control system based on dynamic sliding mode algorithm is proposed. Rudder-fin joint system nonlinear mathematical model is established. Because the designed sliding mode controller makes sliding variables and the derivatives be zero, so it is essentially continous and overcomes traditional sliding mode chattering problem. Simulation results show that while keeping the command  track angle the designed control system can make the average roll angle about ±2°and realize good stabilization effect.
The Navel Orange Sugar and Acidity Quantitative Prediction Model Optimization Research by Second Generation Wavelet Transform Zhao Ke; Yang Han; Wang Zhong; Wang Qi
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 7: July 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i7.pp5414-5419

Abstract

The author researches the impact of the second generation wavelet transform spectrometer data preprocessing navel orange sugar content and acidity Partial Least Squares (PLS) quantitative accuracy of the prediction model. This paper also collects the spectral date of one hundred navel oranges by visible/near-infrared diffuse reflectance detection technology and establishes the navel orange sugar content and acidity PLS prediction model using the sixty navel oranges as the establishing samples. The author contrasts changes of navel orange sugar content and acidity PLS prediction model because the spectral date of navel oranges are processed by the second generation wavelet transform, Finally conclusion: the second generation wavelet transform processing navel orange spectral data can improve the predictive ability of the sugar content and acidity PLS quantitative analysis models.
Fuzzy c-Means and Mean Shift Algorithm for 3DPoint Clouds Denoising Tongguang Ni; Xiaoqing Gu; Hongyuan Wang
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 7: July 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i7.pp5546-5551

Abstract

In  many  applications,  denoising  is  necessary  since  point-sampled  models  obtained  by  laser  scanners  with  insufficient  precision.  An  algorithm  for  pointsampled surface is presented, which combines fuzzy c-means clustering with mean shift filtering algorithm. By using fuzzy c-means clustering, the large-scale noise is deleted  and  a  part  of  small-scale  noise  also  is  smooth.  The  cluster  centers  are regarded  as  the  new  points.  After  acquiring  new  point  sets  being  less  noisy,  the remains noise  is smooth by mean shift  method. Experimental results demonstrate that the algorithm can produce a more accurate point-sample model efficiently while having better feature preservation.
Hypertension Expert System with C5.0 Algorithm and Fuzzy Logic I Gusti Made Ngurah Ardi Yasa; I Ketut Gede Darma Putra; Ni Md Ika Marini Mandenni
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 7: July 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i7.pp5569-5677

Abstract

Expert System is a knowledge -based system which is its knowledge is coming from the experts itself. This system is expected to help users to take best decisions in solving the problems they face. This expert system can be applied in various field of knowledges. Medical field is one area where expert system is needed in case of taking decision, such as diagnosing and treatment.Hypertension is one of medical disease that can be diagnosed from looking at the patient’s physical characteristics and the patient’s lifestyle. Beside using the experts knowledge in diagnosing process, we also combine it with C5.0 algorithms and fuzzy logic to get precise result. C5.0 algorithm is used to create a decision tree based on the experts, while fuzzy logic used to categorize the type of hypertensive disease that suffered by the patient and increase the level of accuracy of the diagnosing system. The accuracy of the combination between c5.0 algorithm and fuzzy logic is about 97.19%.
Analysis of Weak Position in Overhead line under Heavy Icing Condition by Finite Element Method Gan Yan; Liu Chao; Ruan Jiangjun; Li Jinliang; Du Zhiye; Hu Yuanchao
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 7: July 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i7.pp5011-5021

Abstract

Transmission tower is an important component of power system, and heavy iced transmission line has became one of the important factors against its safety and stability in China's power system these years but the transmission line designed from traditional standard can't endure the more worse environment. In this paper, for positioning the weak points of the transmission line under heavy icing accurately and providing accurate positional parameters to online monitoring devices, the strain section model is built to analysis their mechanical properties under icing and wind conditions .In proposed method, the coupling effect between tower and lines is considered, then the weak tower is picked out by strain section model that is combined with eight towers. The single one-tower-two-lines model of weak tower is built to simulate and verify the weak point accurately. Finally the better way is defined to get the location of weak structure combined with the advantages of both models.
Power Loss Research on IGCT-applied NPC Three-level Converter Dong Xu; MinXiao Han; Lei Wan
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 7: July 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i7.pp5154-5162

Abstract

IGCT has a broad application prospects in high power conversion such as flexible DC transmission due to its characteristics of high voltage and large capacity. Compared with IGBT it has a voltage and current level of 4.5kV/4kA and its slope resistance is less than IGBT’s. In addition, due to the di/dt snubber circuit, IGCT’s opening loss will be reduced. Because of improvement of IGCT performance, the loss of IGCT-applied three-level converter will have some new characteristics, so it is necessary to model the IGCT-type three-level converter. Based on piecewise linear curve fitting method, the IGCT switching loss mathematical model is established firstly. With its use in IGCT-type three-level converter loss model, a IGCT-type three-level converter mathematical model is established. If the model is applied in the ±200kV flexible DC transmission’s calculation example, it can be concluded that the loss rate is 0.31%-0.78% when the power factor angle changes between 0 and π, while the loss rate of IGBT-type converter under same voltage level is 2%-3.5% ,so it can be concluded that IGCT is more suitable than IGBT for use in high voltage and large capacity situation such as frequency control of motor speed and flexible DC transmission.
Multi-user Detection Based on Gaussian Sum Particle Filter in Impulsive Noise Li Zhihui; xian Jin-Long
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 7: July 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In order to improve the performance of multi-user detector, this paper analyses a new algorithm, Gaussian sum particle filter (GSPF). This algorithm approximates the filtering and predictive distributions by weighted Gaussian mixtures and is basically banks of Gaussian particle filters (GPF). Then, GSPF is used in dynamic state space (DSS) models with non-Gaussian noise. The non-Gaussian noise is approximated by Laplace noise and Alpha noise. As a result, GSPF can effectively reduce the bit error rate of the system. The simulation results show that the GSPF has the versatility and super performance in MUD. It proves that the improved algorithm has important value for the research of MUD system. DOI: http://dx.doi.org/10.11591/telkomnika.v12i7.5529
Analysis and Design of Complementary Ring Type Metamaterial Filter in THz Wave Domain Wu Pan; Jun Chen; Tianbo Duo; Zichen Liu
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 7: July 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i7.pp5508-5513

Abstract

In this paper, the complementary ring type metamaterial unit is theoretically analyzed by using the spectral domain approach. A terahertz bandpass filter is designed, which consists of triple-layer complementary ring metamaterial. The center frequency of the filter is 338GHz, the transmission rate in pass band reaches 97%, the maximum insertion loss in pass band reaches 0.62dB and 3dB bandwidth reaches 75.9GHz. The filter shows stable filtering properties at different polarization wave and the same polarized wave at different incident angles within the scope of 20°. The range of operating frequency matches the first terahertz atmosphere communication window, so it can be used in the field of terahertz atmosphere communication.
A Study of a New Intelligent Key System for Substation Dan Chen; Yefei Yue; Hongfen Jiang; Xiaorong Zhao; Liyuan Wang
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 7: July 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i7.pp5629-5635

Abstract

Aiming at the demand of production management of power system, a new intelligent key system applied to substation is created and established. Based on the operating mode of the system, the paper puts forward the design of intelligent key based on RFID technology. It expounds the hardware of the system, which adopts advanced ARM technology to develop an intelligent key system, combined with RF signal recognition technology, OLED display, data storage, keyboard input and other functions, in order to meet the functional requirements for intelligence. Its software uses the embedded μC/OS-Ⅱto achieve the signal reception of the new intelligent key system. After tested, the key works well. The system is characterized by more portability, large storage capacity, more functions, friendly interface and other noticeable features.
Short-Term Prediction of Wind Power Based on an Improved PSO Neural Network Hong Zhang; Guo Zhao; Lixing Chen; Bailiang Liu
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 7: July 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i7.pp4973-4980

Abstract

Connecting wind power to the power grid has recently become more common. To better manage and use wind power, its strength must be predicted precisely, which is of great safety and economic significance. In this paper, the short-term power prediction of wind power is based on self-adaptive niche particle swarm optimization (NPSO) in a neural net. Improved PSO adopts the rules of classification and elimination of a niche using a self-adaptive nonlinear mutation operator. Compared with the traditional method of maximum gradient, NPSO can skip a local optimal solution and approach the global optimal solution more easily in practice. Compared with the basic PSO, the number of iterations is reduced when the global optimal solution is obtained. The method proposed in this paper is experimentally shown to be capable of efficient prediction and useful for short-term power prediction.

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